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中文开源项目的 README 与仓库门面优化。当用户说"我的开源项目没人看""README 怎么写""GitHub 仓库怎么优化""帮我写 README""项目主页太丑""怎么让别人愿意 star"时使用。基于对 15 个近期高增长仓库的实测数据给出可执行建议，同时明确说明哪些是相关性、哪些无法验证——不承诺涨星。

日本語の概要は準備中です。原文の説明を表示しています。

Research-grounded typography for any text-bearing surface — web, PDF, email, documents. GENERATIVE: apply correct line length, font sizing, contrast, dark mode, mobile, and Japanese rules from the start when building any UI, page, layout, or document. REVIEW: audit existing CSS/HTML/templates for typography violations. Use this skill whenever you are writing CSS that touches font-size, line-height, max-width, color, or font-family. Use it when building any frontend component, page, or layout — even if the user doesn't mention typography. Use it when reviewing any rendered output for readability. Use it when generating PDFs, emails, or any formatted document. If text will be read by a human, this skill applies.

日本語の概要は準備中です。原文の説明を表示しています。

Use when starting feature work that needs isolation from current workspace or before executing implementation plans - ensures an isolated workspace exists via native tools or git worktree fallback

日本語の概要は準備中です。原文の説明を表示しています。

Extract clean markdown, text, or targeted chunks from one or more known, publicly accessible webpage URLs via the Tavily CLI. Use when the URLs are already supplied or discovered and the user wants page content rather than more URLs. Do not use to find an unknown page (tavily-search), list a site's URL structure (tavily-map), bulk-extract a site section (tavily-crawl), or retrieve named platform, authenticated, cookie-dependent, or platform-native content (Agent Reach). Can process up to 20 public URLs per request.

日本語の概要は準備中です。原文の説明を表示しています。

Mid-run failure recovery for disease-market-sizing-orchestration. Inspects .cache/<slug>/ to determine which phase last completed and which phase to run next. Use when orchestration was interrupted and user wants to continue without restarting from phase 1.

日本語の概要は準備中です。原文の説明を表示しています。

Discover and list all URLs on a website without extracting content, via the Tavily CLI. Use this skill when the user wants to find a specific page on a large site, list all URLs, see the site structure, find where something is on a domain, or says "map the site", "find the URL for", "what pages are on", "list all pages", or "site structure". Faster than crawling — returns URLs only. Essential when you know the site but not the exact page. Combine with extract for targeted content retrieval.

日本語の概要は準備中です。原文の説明を表示しています。

Use when an agent needs to drive a real Chrome window via opencli — inspect a page, fill forms, click through logged-in flows, or extract data ad-hoc. Covers the selector-first target contract, compound form fields, stale-ref handling, network capture, and the agent-native envelopes the CLI returns. Not for writing adapters — see opencli-adapter-author for that.

日本語の概要は準備中です。原文の説明を表示しています。

Discover ordinary public webpages with LLM-optimized Tavily search results. Use when no specific URL is known and the user needs a quick public-web lookup, articles, recent news, sources, or domain-filtered results. This is the default Tavily leaf for simple public-web discovery. Do not use when the user already supplied the target URL (use tavily-extract), wants URLs under one known site (tavily-map), wants many pages' content (tavily-crawl), needs a full cited synthesis (tavily-research), or needs named platforms, login state, platform-native content, or cross-platform collection (Agent Reach).

日本語の概要は準備中です。原文の説明を表示しています。

Manage agent-skill lifecycles across local, global, project, Skill Hub, skills.sh, GitHub, plugin-cache, and system roots. Use when searching, recommending, installing, updating, upgrading, syncing, merging, auditing, deduplicating, cleaning, packaging, publishing, or validating skills; choosing project versus global scope; verifying upstream source, stars, or installs; or working with skill-upgrade, check_upstreams.ps1, sync-pull/push, junctions, skills-lock.json, or skill-upstreams.json. Do not use for ordinary software-package upgrades or non-skill file cleanup.

日本語の概要は準備中です。原文の説明を表示しています。

Extract clean markdown or text content from specific URLs via the Tavily CLI. Use this skill when the user has one or more URLs and wants their content, says "extract", "grab the content from", "pull the text from", "get the page at", "read this webpage", or needs clean text from web pages. Handles JavaScript-rendered pages, returns LLM-optimized markdown, and supports query-focused chunking for targeted extraction. Can process up to 20 URLs in a single call.

日本語の概要は準備中です。原文の説明を表示しています。

Use when landing a stack of dependent GitHub PRs (A ← B ← C, where each bases on the one below) onto master, merging a PR whose base is another open PR's branch, or whenever a request mentions "stacked PRs", "PR stack", "dependent PRs", or merging several related PRs in sequence. Requires every same-repository dependency chain to use GitHub's official stacked-PR feature before landing so GitHub owns stack-wide rules, CI, ordering, retargeting, and merge state.

日本語の概要は準備中です。原文の説明を表示しています。

Use when managing Alibaba Cloud Simple Application Server (SWAS OpenAPI 2020-06-01) resources end-to-end, including querying instances, starting/stopping/rebooting, executing commands (cloud assistant), managing disks/snapshots/images, firewall rules/templates, key pairs, tags, monitoring, and lightweight database operations.

日本語の概要は準備中です。原文の説明を表示しています。

Use FIRST when user requests any disease market sizing report (e.g. "做 X 市场调研" / "Run market sizing for X"). Elicits 4-6 startup questions (evidence window, geography, international comparison, report depth, user role) and writes .cache/<slug>/contract.json. ALWAYS invoke before disease-market-sizing-orchestration. Validates against schemas/contract.schema.json.

日本語の概要は準備中です。原文の説明を表示しています。

Use for Electron desktop application implementation, local packaging, and macOS Electron installer builds in GitHub Actions. Covers secure IPC, preload and multi-process architecture, electron-builder/Forge configuration, native modules, signing/notarization setup, DMG/ZIP packaging, mounted packaged smoke, and macOS qualification evidence. For cloud releases, this Skill owns macOS build and qualification; use github-desktop-release for Windows GitHub Actions qualification and for shared artifact promotion, GitHub Release publication, resume, or authoritative readback. Do not use this Skill to build or qualify Windows installers in GitHub Actions.

日本語の概要は準備中です。原文の説明を表示しています。

Perform passive reconnaissance and leak intelligence collection with no direct contact to target systems.

日本語の概要は準備中です。原文の説明を表示しています。

Scaffold MCP server projects and baseline tool contract checks. Use for defining tool schemas, generating starter server layouts, and validating MCP-ready structure.

日本語の概要は準備中です。原文の説明を表示しています。

Systematically test authorized targets for SQL, XSS, SSTI, XXE, command, and request-smuggling injection classes.

日本語の概要は準備中です。原文の説明を表示しています。

Plan and orchestrate authorized Nmap host discovery, port and service enumeration, NSE profiling, and reporting artifacts for in-scope targets.

日本語の概要は準備中です。原文の説明を表示しています。

为最终稿创建不可变盲预测日志，并在已有预测时追加新版本。通过 cheat-score-blind 做隔离评分，再由主窗口复核落盘。触发词包括启动预测、start prediction、打分并预测、写预测日志。

日本語の概要は準備中です。原文の説明を表示しています。

Read-only first troubleshooting workflow for Python project deployments, including systemd startup failures, dependency issues, encoding problems, permissions, proxy setup, and readiness gates.

日本語の概要は準備中です。原文の説明を表示しています。

从对标账号导入 script + 数据 → 拆 pattern + 派生 base rubric 信号 → 写到 benchmark.md / script_patterns.md / rubric_notes.md。**这是工具最早期信号的来源**——cold-start 用户没自己历史时全靠对标，发过历史的用户也建议至少 1 个对标做 sanity check。触发词："学这个账号"/"拆这几个对标视频"/"learn from"/"导入对标账号"/"找对标"。

日本語の概要は準備中です。原文の説明を表示しています。

GStack office-hours method for early product ideas, startup demand checks, builder-mode brainstorming, narrow wedge selection, and pre-architecture clarification before plan review.

日本語の概要は準備中です。原文の説明を表示しています。

GStack design plan review for user journey, layout, interaction model, responsive behavior, accessibility, and visual risk before UI work starts.

日本語の概要は準備中です。原文の説明を表示しています。

Integrate a GPU operator into ATREX with minimal source, compatible lazy APIs, hardware dispatch, atrex-prefixed kernels, one functional test file, and target-GPU validation.

日本語の概要は準備中です。原文の説明を表示しています。